* This script serves as a place holder for all table notes in the Endline Assessment Analysis

gl endline_stress_emotion "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on officers' self-regulation strategies (measured in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. Each row is a different regression. One observation is included for each officer. N=1,669. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). Column (1) shows the coefficients on the Sit-D indicator. Column (2) shows robust standard errors. Column (3) shows the observed p-value. Column (4) shows the multiple-inference corrected q-values that adjust for the false discovery rate across outcomes in a family. Both outcomes in this table are part of the Navigating Cognitively Demanding Situations Family. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_al_exp_dummy "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on the formation of alternative interpretations in the Driver's Actions Task (measured in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. Each row is a different regression. One observation is included for each officer. N=1,582. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). Column (1) shows the control mean for each outcome. Column (2) shows the coefficients on the Sit-D indicator. Column (3) shows robust standard errors. Column (4) shows the observed p-value. Column (5) shows the multiple-inference corrected q-values that adjust for the false discovery rate across outcomes in a family. All outcomes in this table are part of the Navigating Cognitively Demanding Situations Family. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"


gl endline_assessing_situation "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on processing information and forming alternative interpretations in the Pictures Task (measured in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. Each row is a different regression. One observation is included for each officer. N=1,669. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). Column (1) shows the coefficients on the Sit-D indicator. Column (2) shows robust standard errors. Column (3) shows the observed p-value. Column (4) shows the multiple-inference corrected q-values that adjust for the false discovery rate across outcomes in a family. All outcomes in this table are part of the Navigating Cognitively Demanding Situations Family. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}" 

gl endline_force_in_dynamic_sit "\footnotesize \item \textbf{Notes.}  This table shows the effect of Sit-D training on officers' responses involving uses of force in dynamic situations (measured in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. Each row is a different regression. One observation is included for each officer. N=1,669. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). Column (1) shows the coefficients on the Sit-D indicator. Column (2) shows robust standard errors. Column (3) shows the observed p-value. Column (4) shows the multiple-inference corrected q-values that adjust for the false discovery rate across outcomes in a family. All outcomes in this table are part of the Navigating Cognitively Demanding Situations Family. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_communication "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on officers' movement and communication in the FOS exercises (measured in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. Each row is a different regression. One observation is included for each officer. N=1,611. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). Column (1) shows the coefficients on the Sit-D indicator. Column (2) shows robust standard errors. Column (3) shows the observed p-value. Column (4) shows the multiple-inference corrected q-values that adjust for the false discovery rate across outcomes in a family. All outcomes in this table are part of the Officer Performance in the FOS Family. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_shooting_fos_combine "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on officers' decisions to shoot subjects in the FOS exercises (measured in the endline assessment). One observation is included for each of the three scenarios completed by the officers. N=4,377. The regression includes stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). Direct Threat is an indicator for scenarios in which the subjects pose a clear and direct threat. The coefficient on the interaction of Sit-D and Direct Threat measures whether Sit-D trained officers, in comparison to control officers, fired differentially on subjects who posed a direct threat. Columns (1), (4), and (7) show the coefficients on each term. Columns (2), (5), and (8) show robust standard errors. Columns (3), (6), and (9) show the observed p-values. Column (10) shows the multiple-inference corrected q-value that adjusts for the false discovery rate across outcomes in a family, is shown in square brackets for the interaction term, which is part of the Officer Performance in the FOS Family. The final column shows the number of observations in the regression. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_knowledge "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on officers' knowledge of key concepts from the training (measured in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. Each row is a different regression. One observation is included for each officer. N=1,669. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). The top row shows the results for the Knowledge Of Sit-D Concepts Index, while the remaining rows show the results for the components of the index. Column (1) shows the control mean for each outcome (blank for mean effect indices). Column (2) shows the coefficients on the Sit-D indicator. Column (3) shows robust standard errors. Column (4) shows the observed p-values. Column (5) shows the multiple-inference corrected q-value that adjusts for the false discovery rate across outcomes in a family. The Knowledge Of Sit-D Concepts Index is part of the Knowledge Family. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_stress_emotion_detailed "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on how officers cope with stress and regulate their emotions (measured in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. Each row is a different regression. One observation is included for each officer. N=1,669. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). Panel A shows the results for the Coping With Stress Index (top row) and its components (remaining rows). Panel B shows the results for the Emotion Regulation Index (top row) and its components (remaining rows). Column (1) shows the control mean for each outcome (blank for mean effect indices). Column (2) shows the coefficients on the Sit-D indicator. Column (3) shows robust standard errors. Column (4) shows the observed p-values. Column (5) shows the multiple-inference corrected q-value that adjusts for the false discovery rate across outcomes in a family. The Coping With Stress Index and Emotion Regulation Index are both part of the Navigating Cognitively Demanding Situations Family. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_knowledge_of_force_short "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on officers' knowledge of CPD's use of force policy (measured in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. Each row is a different regression. One observation is included for each officer. N=1,669. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). Column (1) shows the coefficients on the Sit-D indicator. Column (2) shows robust standard errors. Column (3) shows the observed p-values. Column (4) shows the multiple-inference corrected q-values that adjust for the false discovery rate across outcomes in a family. All outcomes in this table are part of the Knowledge Family. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_personalization "\footnotesize \item \textbf{Notes.}This table shows the effect of Sit-D training on officers' tendency to think that subjects intend to antagonize them (measured in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. Each row is a different regression. One observation is included for each officer. N=1,669. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). The top row shows the results for the Personalization Index, while the remaining rows show the results for the components of the index. Column (1) shows the control mean for each outcome (blank for mean effect indices). Column (2) shows the coefficients on the Sit-D indicator. Column (3) shows robust standard errors. Column (4) shows the observed p-values. Column (5) shows the multiple-inference corrected q-value that adjusts for the false discovery rate across outcomes in a family. The Personalization Index is part of the Navigating Cognitively Demanding Situations Family. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_confidence "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on officers' confidence in their ability to respond to different situations (measured in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. Each row is a different regression. One observation is included for each officer. N=1,669. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). The top row shows the results for the Confidence Index, while the remaining rows show the results for the components of the index. Column (1) shows the control mean for each outcome (blank for mean effect indices). Column (2) shows the coefficients on the Sit-D indicator. Column (3) shows robust standard errors. Column (4) shows the observed p-values. Column (5) shows the multiple-inference corrected q-value that adjusts for the false discovery rate across outcomes in a family. The Confidence Index is part of the Navigating Cognitively Demanding Situations Family. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_post_outcomes "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on recall of details and articulation of actions following FOS exercises (measured in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. Each row is a different regression. One observation is included for each officer. N=1,630. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). Column (1) shows the coefficients on the Sit-D indicator. Column (2) shows robust standard errors. Column (3) shows the observed p-values. Column (4) shows the multiple-inference corrected q-values that adjust for the false discovery rate across outcomes in a family. All outcomes in this table are part of the Officer Performance in the FOS Family. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_all_LASSO "\footnotesize \item \textbf{Notes.}  This table presents estimates of the Sit-D training on key endline assessment outcomes. Each row is a different regression. All regressions include stratum fixed effects and officer-level covariates incorporated by the LASSO double-selection procedure. Column (1) shows the control mean (blank for mean effect indices). Column (2) shows the coefficients on the Sit-D indicator. Column (3) shows robust standard errors. Column (4) shows the observed p-values. Column (5) shows the multiple-inference corrected q-values that adjust for the false discovery rate across outcomes in a family. The top panel shows outcomes in the Knowledge Family, the middle panel shows outcomes in the Navigating Cognitively Demanding Situations Family, and the bottom panel shows outcomes in the Officer Performance in the FOS Family. Column (6) shows the number of observations in each regression. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_all_no_covar "\footnotesize \item \textbf{Notes.} This table presents estimates of the Sit-D training on key endline assessment outcomes. Each row is a different regression. All regressions include stratum fixed effects, but do not include any additional covariates. Column (1) shows the control mean (blank for mean effect indices). Column (2) shows the coefficients on the Sit-D indicator. Column (3) shows robust standard errors. Column (4) shows the observed p-values. Column (5) shows the multiple-inference corrected q-values that adjust for the false discovery rate across outcomes in a family. The top panel shows outcomes in the Knowledge Family, the middle panel shows outcomes in the Navigating Cognitively Demanding Situations Family, and the bottom panel shows outcomes in the Officer Performance in the FOS Family. Column (6) shows the number of observations in each regression. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level.  \end{tablenotes}"

gl endline_shooting_fos_combine "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on officers' decisions to shoot subjects in the FOS exercises (measured in the endline assessment). One observation is included for each scenario completed by each officer. N=4,377. The regression includes stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). Direct Threat is an indicator for scenarios in which the subjects pose a clear and direct threat. The coefficient on the interaction of Sit-D and Direct Threat measures whether Sit-D trained officers, in comparison to control officers, fired differentially on subjects who posed a direct threat. Columns (1), (4), and (7) show the coefficients on each term. Columns (2), (5), and (8) show robust standard errors. Columns (3), (6), and (9) show the observed p-values. Column (10) shows the multiple-inference corrected q-value that adjusts for the false discovery rate across outcomes in a family, is shown in square brackets for the interaction term, which is part of the Officer Performance in the FOS Family. The final column shows the number of observations in the regression. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_combined_het_Exp "\footnotesize \item \textbf{Notes.} This table presents heterogeneous effects of the Sit-D training on endline assessment outcomes by officer experience. Each row is a different regression. One observation is included for each officer. All regressions include stratum fixed effects and additional officer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, officer injuries and an index of officer activities, key outcomes from the administrative data measured similarly at baseline and endline). For all outcomes except Shooting in the FOS, columns (1)-(3) show the coefficient, standard error, and p-value for estimates of the Sit-D indicator. Columns (4)-(6) show the coefficient, standard error, and p-value for estimates of Sit-D interacted with experience. For shooting in the FOS, columns (1)-(3) show the coefficient, standard error, and p-value estimates for Sit-D interacted with whether the subject presents a direct threat, and columns (4)-(6) show the coefficient, standard error, and p-value estimates for Sit-D interacted with whether the subject presents a direct threat as well as years of officer experience. Standard errors are robust. Column (7) shows the number of observations in each regression. *** is significant at the 1\% level, ** is significant at the 5\% level, and * is significant at the 10\% level. \end{tablenotes}"

gl endline_interpretation_combine "\footnotesize \item \textbf{Notes.} This table shows the effect of Sit-D training on the consideration of alternative interpretations (as measured by three tasks in the endline assessment), based on estimating equation \eqref{eqn:CS_ITT}. The top panel shows how oﬃcers described the subject in the Driver's Actions Task, the middle panel shows how offcers processed information and formed interpretations in the Pictures Task, and the bottom panel shows how offcers responded to use of force scenarios. Each row is a different regression. One observation is included for each offcer (N=1,582 for the top panel; N=1,669 for the middle and bottom panels). All regressions include stratum ﬁxed eﬀects and additional offcer-level covariates (race, gender, experience; as well as baseline values of discretionary arrests, offcer injuries and an index of offcer activities, key outcomes from the administrative data measured similarly at baseline and endline). Column (1) shows the control mean for each outcome (blank for mean effect indices). Column (2) shows the coeffcients on the Sit-D indicator. Column (3) shows robust standard errors. Column (4) shows the observed p-value. Column (5) shows the multiple-inference corrected q-values that adjust for the false discovery rate across outcomes in a family. All outcomes in this table are part of the Navigating Cognitively Demanding Situations Family. *** is significant at the 1\% level, ** at the 5\% level, and * at the 10\% level. \end{tablenotes}"